Prevalence and root causes of operating room fires in the United States 2014–2024 by Monica M. Attia

“…Intraoperative fires comprised the majority (35.6%). Operator error accounted for 37.8% of cases, with common errors including device mishandling (35.2%) and failure to detect damage (17.6%). …”
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Artificial Intelligence in ECG interpretation - review article by Łukasz Fussek, Jagoda Niewiadomska, Borys Bondos, Aleksandra Stępień, Alicja Paluch, Jakub Skrzypek, Aleksandra Język Polski, Robert Kochan, Ewelina Wieczorek, Kacper Lee

“…The biggest limitations of artificial intelligence are the need to verify the diagnosis made by the algorithm in order to detect possible errors. In addition, the use of personal data to train an artificial intelligence algorithm to diagnose specific medical conditions can be controversial, which can interfere with data protection rules. …”
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Cataract induction in an arthropod reveals how lens crystallins contribute to the formation of biological glass. by Amartya T Mitra, Shubham Rathore, Augusta Jester, Ruby Hyland-Brown, J Hassert, Joshua B Benoit, Annette Stowasser, Elke K Buschbeck

“…Our findings highlight the utility of T. marmoratus as a tractable model system to probe the aetiology of lens cataracts and refractive errors.…”
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Farmers’ knowledge and perception of finger millet blast disease and its control practices in western Kenya by Wilton Mbinda, Agnes Kavoo, Fredah Maina, Margaret Odeph, Cecilia Mweu, Naomi Nzilani, Mathew Ngugi

“…In all the surveyed regions, farmers had little knowledge about blast disease identification, its detection and spread. Further, the farmers’ awareness of blast disease control was inconsistent with established practices. …”
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SEISMIC PICTURE OF A FAULT ZONE. WHAT CAN BE GAINED FROM THE ANALYSIS OF FINE PATTERNS OF SPATIAL DISTRIBUTION OF WEAK EARTHQUAKE CENTERS? by Gevorg G. Kocharyan, Svetlana B. Kishkina, Aleksey A. Ostapchuk

“…Based on the data from a very dense network of digital seismic stations installed in this region and with application of modern data processing methods, differential coordinates of microearthquakes can be determined with errors of about first dozens of meters.It is thus possible to precisely detect boundaries of the areas wherein active deformation processes occur and to reveal spatial patterns of seismic event localization.In our analyses, data from the most comprehensive seismic catalog were used. …”
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Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations by Sumit Singh Dhanda, Deepak Panwar, Chia-Chen Lin, Tarun Kumar Sharma, Deependra Rastogi, Shantanu Bindewari, Anand Singh, Yung-Hui Li, Neha Agarwal, Saurabh Agarwal

“…Mental health prediction systems based on NLP and wearable data delivered up to 91% accuracy in stress and depression detection, while hospital resource forecasting models using deep learning minimized errors in predicting emergency admissions. …”
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Evaluation of climate indices related to water resources in Iran over the past 3 decades by Fatemeh Chaparinia, Mostafa Hadei, Kamyar Yaghmaeian, Mahdi Hadi, Kazem Naddafi

“…The GSOD data undergo extensive automated quality control processes to eliminate random errors and ensure data reliability. Long-term trends were analyzed using linear regression, and spatial patterns were identified using K-means and hierarchical clustering methods. …”
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Efficient Wheat Disease Identification Using Hybrid Swin-SHARP Vision Model by Waqar Khalid, Yazeed Alkharijah, Syed Muhammad Usman, Shehzad Khalid

“…The proposed model outperformed state-of-the-art existing models, including CNN-CGLCM-HSV-SVM, GhostNet V2, ResNet 50, MobileNet V2–VGG-16, CNN-CGL CM-HSV-SVM, and Swin Transformer by 4.8%, 1.76%, 1.2%, 13.6%, 4.8%, and 1.4% respectively, on the YELLOW-RUST-19 dataset. These findings concluded that the SVH model is a strong approach to accurately detect yellow rust disease and can be used in real time, particularly in resource-constrained agricultural settings.…”
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Smartphone LIDAR can measure tree cavity dimensions for wildlife studies by Jessica M. Stitt, Leona K. Svancara, Lee A. Vierling, Kerri T. Vierling

“…The Spike laser range‐finding device pairs with a mobile app to allow users to photograph a target (i.e., a tree cavity) on their phone or tablet and measure dimensions of that target onscreen. …”
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The Mediating Effect of Accounting Information Quality on the Relationship Between Workforce Education Level and Investment Efficiency by Ayat Naji Mahdi Al-Obaidi, Pari Chalaki, Mehdi Heidari

“…This enhancement involves reducing reporting errors, detecting and addressing irregularities, and increasing transparency in financial reporting. …”
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BoostPolyGlot: A Structured IR Generation-Based Fuzz Testing Framework for GCC Compiler Frontend by Hui Liu, Hanbin Guo, Peng Liu, Tongding Hou

“…When existing fuzz testing methods are applied to compiler testing, although they can detect common errors like lexical and syntax errors, there are issues such as insufficient pertinence in constructing the input corpus, limited support for structured Intermediate Representation (IR) node manipulation, and limited perfection of the mutation strategy. …”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…These specimens, featuring prefabricated fractures, undergo GPR detection, and the resulting data are compared with the numerical simulations to validate the accuracy of the models.Results and Discussions　The analysis of the GPR data reveals fascinating insights into the dynamic behavior of rock fractures. …”
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Brief Communication: Maternal Plasma Autoantibodies Screening in Fetal Down Syndrome by Karol Charkiewicz, Monika Zbucka-Kretowska, Joanna Goscik, Slawomir Wolczynski, Adam Lemancewicz, Piotr Laudanski

“…The predictive value of the classifier (specificity and sensitivity) is 100%, classification errors, 0%, cross-validation errors, 0%. Conclusion. …”
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Comment on Krüger, L. Decreasing Trends of Chinstrap Penguin Breeding Colonies in a Region of Major and Ongoing Rapid Environmental Changes Suggest Population Level Vulnerability.... by W. Chris Oosthuizen, Murray Christian, Mzabalazo Ngwenya

“…Chinstrap penguin population trends are an important research topic, but we caution that Krüger (2023)’s statistical analyses (intended to form the foundation for drawing valid, evidence-based inferences from sparse data) contain fundamental errors that invalidate that paper’s findings. We discuss oversights in several key steps (data processing, exploratory data analysis, model fitting, model evaluation, and prediction) of that paper’s analysis to help others detect and avoid some of the pitfalls associated with estimating population trends via mixed models. …”
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Analysis of 6G and B5G waveforms using hybrid MF-ED and ECG-ED spectrum sensing techniques by Arun Kumar, Aziz Nanthaamornphong

“…The proposed algorithms are evaluated in comparison with traditional SS methods, including ED, MF, and cyclostationary feature detection (CFD). Additionally, characteristics including bit error rate (BER), power spectral density (PSD), probability of detection (pd), and probability of false alarm (pfa) were researched and evaluated for 500 and 1000 samples. …”
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Effect of attentional bias modification on pre-competition anxiety in athletes by Jing Zhao, Yuhan Yang, Heng Zhang, Yu Nie, Qiulin Wang

“…Athletes often experience performance anxiety, which creates attentional errors and underperformance. Attentional bias, where emotional stimuli influence decision-making, may also result in selective attention to negative information. …”
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A shortened 10-item Spine Functional Index: clinimetric properties indicate a reliable, responsive and practical measure by Hamid Reza Mokhtarinia, Antonio Cuesta-Vargas, Almir Vieira Dibai-Filho, Markus Melloh, Agnieszka Bejer

“…Subgroups determined reliability (n = 104, intraclass correlation coefficient, ICC2.1); error (n = 171) through the standard error of measurement (SEM) and minimum detectable change (MDC90). …”
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Bias in modeled Greenland Ice Sheet melt revealed by ASCAT by A. Puggaard, A. Puggaard, N. Hansen, R. Mottram, T. Nagler, S. Scheiblauer, S. B. Simonsen, L. S. Sørensen, J. Wuite, A. M. Solgaard

“…Overall, we find that the RCMs tend to have a later melt onset than ASCAT and an earlier end to the melt season, with a similar but slightly smaller melt area compared to that identified in ASCAT. …”
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Damage Identification in Large-Scale Structures Using Time Series Analysis and Improved Sparse Regularization by Huihui Chen, Xiaojing Yuan

“…To summarize, the findings highlight that the AR coefficient sensitivity combined with improve sparse regularization can effectively detect damage of large-scale structure, providing a feasible way to expand the application of the sensitivity-based method.…”
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A refined analysis of Neanderthal-introgressed sequences in modern humans with a complete reference genome by Shen-Ao Liang, Tianxin Ren, Jiayu Zhang, Jiahui He, Xuankai Wang, Xinrui Jiang, Yuan He, Rajiv C. McCoy, Qiaomei Fu, Joshua M. Akey, Yafei Mao, Lu Chen

“…Compared to GRCh37, we find that T2T-CHM13 significantly improves read mapping quality in archaic samples. …”
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